Security Engineer

Who we are 

Enhesa is the global compliance partner to the world’s largest businesses, bringing clarity to a regulatory and sustainability landscape that never stops changing.  

Our mission is to help organizations make informed decisions they can defend, wherever they operate, combining deep human expertise with AI efficiency, to confidently act across EHS, product, chemical, and corporate sustainability compliance.  

Businesses come to us needing help understanding what regulators expect. We’ve built our services around solving that problem and work with more than half of the fortune 500, as a trusted provider of intelligence. 

At Enhesa, our teams are guided by purpose, passion, inclusivity, and driving progress. We are united by a belief that positive change is everyone’s responsibility.  

If these qualities sound like you, Enhesa could be your next career move!

What we offer 

• A competitive salary package 
• Flexible home-working policy and work/life balance 
• A collaborative fast paced, driven environment 
• Accountability and pride for your projects 

For more information visit: www.enhesa.com 

Overview of the position

Support the Enhesa’s cybersecurity infrastructure by implementing robust security controls, deploying innovative security solutions, and investigating security incidents. This role is central to Enhesa’s application and cloud security posture, with growing exposure to securing AI/ML systems and generative AI tools as adoption expands across the organization. This role is pivotal in maintaining the security posture through meticulous incident analysis and effective mitigation strategies. Beyond technical responsibilities, the position requires excellent collaboration and communication with various departments to align security policies and procedures with overall business objectives and compliance regulations. The role works closely with Application Engineering and Cloud Platform teams, and increasingly with AI teams, to embed security throughout the software development lifecycle and cloud infrastructure environments. The successful candidate will provide guidance on secure design patterns, conduct comprehensive security reviews of application code and cloud architectures, and, as AI adoption grows, contribute to securing AI-powered features and managed AI services.

Main tasks and responsibilities

• Secure the SDLC and Cloud Infrastructure: Conduct security reviews of application code and cloud architectures (AWS, Azure, GCP), and integrate security controls, automated testing, and vulnerability management into CI/CD pipelines and DevSecOps workflows.